Two-way sync
Changes in Neo4j or SAP instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j and SAP in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Inventory / Stock, Cost Centers, Business Partners, Materials (Products) from SAP into Neo4j and keeps both sides consistent in real time. Whatever SAP is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Neo4j sync back into SAP with its validations respected.
Choose exactly which tables and fields may flow from Neo4j back into SAP, keeping the ERP authoritative.
Records from SAP live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the SAP interface, limits, and retries.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Neo4j objects | SAP objects | |
|---|---|---|
| Labels Node type markers used to map source tables or objects onto the graph. | Sales Orders Order documents written from external channels and read for status and fulfillment. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Purchase Orders Procurement documents synced with supplier portals and spend tools. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Outbound Deliveries Shipment documents synced to WMS, carriers, and customer portals. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Billing Documents Invoices read for AR status and replicated for revenue reporting. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | GL Accounts and Journal Entries Financial postings replicated to warehouses for group finance analytics. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Production Orders Manufacturing orders exchanged with MES and scheduling systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–SAP connection.
Changes in Neo4j or SAP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j or SAP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Neo4j or SAP record.
Track your Neo4j ⇄ SAP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j and SAP.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Neo4j and SAP with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Neo4j and SAP objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and SAP: authenticate both systems, choose the objects to sync (such as Neo4j's Labels and Indexes & Constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Neo4j and SAP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On SAP: Business events via SAP Event Mesh on S/4HANA; change pointers with IDocs or timestamp polling on ECC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Neo4j side: Users & Roles, Nodes, Relationships, Properties, plus custom fields where Neo4j exposes them. On the SAP side: Inventory / Stock, Cost Centers, Business Partners, Materials (Products). Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Neo4j and SAP: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Neo4j back into SAP, keeping the ERP authoritative.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Neo4j and SAP.